Instructions to use WindstormLabs/translate-es-sl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-es-sl with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="WindstormLabs/translate-es-sl")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-es-sl", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d4457762e0597b35155d896d8ac6df074351a2439478a801799813a2287b1686
- Size of remote file:
- 817 kB
- SHA256:
- 13a196a42b4f50cd18ccb8a32f14bd7250bb43a754368bc9f7c48e5531f4e1c9
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